






import os
from shutil import copyfile
from typing import List, Optional, Tuple

from ...tokenization_utils import AddedToken
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
   from .tokenization_barthez import BarthezTokenizer
else:
   __A					=	None

__A					=	logging.get_logger(__name__)

__A					=	{"vocab_file": "sentencepiece.bpe.model", "tokenizer_file": "tokenizer.json"}

__A					=	{
    "vocab_file": {
        "moussaKam/mbarthez": "https://huggingface.co/moussaKam/mbarthez/resolve/main/sentencepiece.bpe.model",
        "moussaKam/barthez": "https://huggingface.co/moussaKam/barthez/resolve/main/sentencepiece.bpe.model",
        "moussaKam/barthez-orangesum-title": (
            "https://huggingface.co/moussaKam/barthez-orangesum-title/resolve/main/sentencepiece.bpe.model"
        ),
    },
    "tokenizer_file": {
        "moussaKam/mbarthez": "https://huggingface.co/moussaKam/mbarthez/resolve/main/tokenizer.json",
        "moussaKam/barthez": "https://huggingface.co/moussaKam/barthez/resolve/main/tokenizer.json",
        "moussaKam/barthez-orangesum-title": (
            "https://huggingface.co/moussaKam/barthez-orangesum-title/resolve/main/tokenizer.json"
        ),
    },
}

__A					=	{
    "moussaKam/mbarthez": 10_24,
    "moussaKam/barthez": 10_24,
    "moussaKam/barthez-orangesum-title": 10_24,
}

__A					=	"▁"



class 				_A			(     UpperCamelCase				):
    """simple docstring"""

    lowerCamelCase	:							Any				= VOCAB_FILES_NAMES
    lowerCamelCase	:							List[Any]				= PRETRAINED_VOCAB_FILES_MAP
    lowerCamelCase	:							Union[str, Any]				= PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    lowerCamelCase	:							Dict				= ['input_ids', 'attention_mask']
    lowerCamelCase	:							Any				= BarthezTokenizer



    def __init__(				self      :     Any ,     __SCREAMING_SNAKE_CASE      :     str=None ,     __SCREAMING_SNAKE_CASE      :     Any=None ,     __SCREAMING_SNAKE_CASE      :     Any="<s>" ,     __SCREAMING_SNAKE_CASE      :     str="</s>" ,     __SCREAMING_SNAKE_CASE      :     Union[str, Any]="</s>" ,     __SCREAMING_SNAKE_CASE      :     Any="<s>" ,     __SCREAMING_SNAKE_CASE      :     Union[str, Any]="<unk>" ,     __SCREAMING_SNAKE_CASE      :     List[str]="<pad>" ,     __SCREAMING_SNAKE_CASE      :     Optional[Any]="<mask>" ,     **__SCREAMING_SNAKE_CASE      :     Dict ,     )      ->							List[str]:
           # Mask token behave like a normal word, i.e. include the space before it
           __UpperCAmelCase     				=AddedToken(__SCREAMING_SNAKE_CASE ,     lstrip=__SCREAMING_SNAKE_CASE ,     rstrip=__SCREAMING_SNAKE_CASE      ) if isinstance(__SCREAMING_SNAKE_CASE ,     __SCREAMING_SNAKE_CASE      ) else mask_token

           super().__init__(
               __SCREAMING_SNAKE_CASE ,     tokenizer_file=__SCREAMING_SNAKE_CASE ,     bos_token=__SCREAMING_SNAKE_CASE ,     eos_token=__SCREAMING_SNAKE_CASE ,     unk_token=__SCREAMING_SNAKE_CASE ,     sep_token=__SCREAMING_SNAKE_CASE ,     cls_token=__SCREAMING_SNAKE_CASE ,     pad_token=__SCREAMING_SNAKE_CASE ,     mask_token=__SCREAMING_SNAKE_CASE ,     **__SCREAMING_SNAKE_CASE ,     )

           __UpperCAmelCase     				=vocab_file
           __UpperCAmelCase     				=False if not self.vocab_file else True



    def _a							(				self      :     List[str] ,     __SCREAMING_SNAKE_CASE      :     List[int] ,     __SCREAMING_SNAKE_CASE      :     Optional[List[int]] = None      )      ->							List[int]:

           if token_ids_a is None:
                  return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
           __UpperCAmelCase     				=[self.cls_token_id]
           __UpperCAmelCase     				=[self.sep_token_id]
           return cls + token_ids_a + sep + sep + token_ids_a + sep



    def _a							(				self      :     str ,     __SCREAMING_SNAKE_CASE      :     List[int] ,     __SCREAMING_SNAKE_CASE      :     Optional[List[int]] = None      )      ->							List[int]:
           __UpperCAmelCase     				=[self.sep_token_id]
           __UpperCAmelCase     				=[self.cls_token_id]

           if token_ids_a is None:
                  return len(cls + token_ids_a + sep      ) * [0]
           return len(cls + token_ids_a + sep + sep + token_ids_a + sep      ) * [0]



    def _a							(				self      :     int ,     __SCREAMING_SNAKE_CASE      :     str ,     __SCREAMING_SNAKE_CASE      :     Optional[str] = None      )      ->							Tuple[str]:
           if not self.can_save_slow_tokenizer:
                  raise ValueError(
                      """Your fast tokenizer does not have the necessary information to save the vocabulary for a slow """
                      """tokenizer."""      )

           if not os.path.isdir(__SCREAMING_SNAKE_CASE      ):
                  logger.error(f'''Vocabulary path ({save_directory}) should be a directory'''      )
                  return
           __UpperCAmelCase     				=os.path.join(
               __SCREAMING_SNAKE_CASE ,     (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]      )

           if os.path.abspath(self.vocab_file      ) != os.path.abspath(__SCREAMING_SNAKE_CASE      ):
                  copyfile(self.vocab_file ,     __SCREAMING_SNAKE_CASE      )

           return (out_vocab_file,)










'''simple docstring'''


from multiprocessing import Lock, Pipe, Process

# lock used to ensure that two processes do not access a pipe at the same time
UpperCAmelCase_					=   Lock()


def     SCREAMING_SNAKE_CASE							(   a_						:				str					,       a_						:				Tuple					,       a_						:				Dict					,       a_						:				Optional[Any]					,       a_						:				str					,       a_						:				Any					,       a_						:				Optional[Any]      ):
  global process_lock

  # we perform n swaps since after n swaps we know we are sorted
  # we *could* stop early if we are sorted already, but it takes as long to
  # find out we are sorted as it does to sort the list with this algorithm
  for i in range(0					,       10      ):
    if (i + position) % 2 == 0 and r_send is not None:
      # send your value to your right neighbor
      process_lock.acquire()
      r_send[1].send(a_      )
      process_lock.release()

      # receive your right neighbor's value
      process_lock.acquire()
      __a								=       rr_cv[0].recv()
      process_lock.release()

      # take the lower value since you are on the left
      __a								=       min(a_					,       a_      )
    elif (i + position) % 2 != 0 and l_send is not None:
      # send your value to your left neighbor
      process_lock.acquire()
      l_send[1].send(a_      )
      process_lock.release()

      # receive your left neighbor's value
      process_lock.acquire()
      __a								=       lr_cv[0].recv()
      process_lock.release()

      # take the higher value since you are on the right
      __a								=       max(a_					,       a_      )
    # after all swaps are performed, send the values back to main
  result_pipe[1].send(a_      )


def     SCREAMING_SNAKE_CASE							(   a_						:				List[str]      ):
  __a								=       []
  __a								=       []
  # initialize the list of pipes where the values will be retrieved
  for _ in arr:
    result_pipe.append(Pipe()      )
  # creates the processes
  # the first and last process only have one neighbor so they are made outside
  # of the loop
  __a								=       Pipe()
  __a								=       Pipe()
  process_array_.append(
      Process(
          target=a_					,       args=(0, arr[0], None, temp_rs, None, temp_rr, result_pipe[0])					,       )      )
  __a								=       temp_rs
  __a								=       temp_rr

  for i in range(1					,       len(a_      ) - 1      ):
    __a								=       Pipe()
    __a								=       Pipe()
    process_array_.append(
        Process(
            target=a_					,       args=(i, arr[i], temp_ls, temp_rs, temp_lr, temp_rr, result_pipe[i])					,       )      )
    __a								=       temp_rs
    __a								=       temp_rr

  process_array_.append(
      Process(
          target=a_					,       args=(
              len(a_      ) - 1,
              arr[len(a_      ) - 1],
              temp_ls,
              None,
              temp_lr,
              None,
              result_pipe[len(a_      ) - 1],
          )					,       )      )

  # start the processes
  for p in process_array_:
    p.start()

  # wait for the processes to end and write their values to the list
  for p in range(0					,       len(a_      )      ):
    __a								=       result_pipe[p][0].recv()
    process_array_[p].join()
  return arr


def     SCREAMING_SNAKE_CASE							(   ):
  __a								=       list(range(10					,       0					,       -1      )      )
  print('Initial List'      )
  print(*a_      )
  __a								=       odd_even_transposition(a_      )
  print('Sorted List\n'      )
  print(*a_      )


if __name__ == "__main__":
  main()



